Claude Desktop 설치 가이드
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MCP Servers

MCP Fundamentals 🧱 Meet users in the AI apps they already use Your users are increasingly getting accustomed to using natural language to communicate with AI apps like ChatGPT, Claude Desktop, and...

Your senior Microsoft 365, Intune, and Entra admin, installed in the AI client you already use. Agent Skills plus MCP servers for Claude Code, Cursor, Codex, Gemini, and GitHub Copilot, with a human...

CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.

Living Memory Architecture for Autonomous AI Agents — MCP server with typed connections, beliefs, decay, reconsolidation

One command. TypeScript Python. Example tools, the Inspector, and tests — all wired up. Or point it at an OpenAPI spec and get

The local-first knowledge layer for AI development.

A Stdio MCP server which proxies an SSE MCP server.

An MCP server for Basecamp 3. It lets MCP-capable clients such as Codex, Cursor, and Claude Desktop read and manage Basecamp projects through OAuth-authenticated Basecamp API calls.

A starting point for Claude Code to Codex collaboration

Local-first knowledge compiler for humans and agents. Inspired by Karpathy's vision. Plain markdown, CLI + MCP server.

The cognitive memory layer for AI agents.

Generic markdown vault MCP with hybrid search
Agent Skills

A framework-agnostic, git-native standard for defining AI agents

科研写作助手 (Research Writing Assistant)

Pi extension for async subagent delegation with truncation, artifacts, and session sharing

One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge...

A skill family for shaping the research storyline of CCF-A papers.

东方编辑部 × 数字山水风交互式知识图谱 — 双击 HTML 文件即可在浏览器中探索。搜索、社区图例、聚焦筛选、节点视觉分层、社区轻量地图、统一社区抽屉、悬停预览、轻量摘要、明确进入阅读、Shift 多选、画布缩放拖拽和小地图定位,全部离线运行,不依赖服务器。

PhyAgentOS is a Recursive Self-Improving (RSI) physical agent operating system that enables agents to recursively self-improve through agentic workflows.

Make any LLM talk like a normal person. A system prompt that removes AI slop.

Delegate coding to agents. Improve the loop around them.

Intelligent prompt optimization for Claude Code. It injects the right context at the right moment - at prompt submit, tool use, and subagent start - so Claude has what it needs before it acts.

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

A free, hands-on course on using AI developer tools to build, test, deploy, extend, and audit software without losing engineering discipline. The 2026 cohort starts August 31.